Kowshik Thopalli

According to our database, Kowshik Thopalli authored at least 31 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

The Fragility of Chain-of-Thought Monitoring Across Typologically Diverse Languages.

Eric Onyame, Runtao Zhou, Kowshik Thopalli, Bhavya Kailkhura, Chirag Agarwal

CoRR, May, 2026

LatentDiff: Scaling Semantic Dataset Comparison to Millions of Images.

James Flora, Kowshik Thopalli, Akshay R. Kulkarni, Weng-Keen Wong, Shusen Liu

CoRR, May, 2026

Improving Robustness In Sparse Autoencoders via Masked Regularization.

Vivek Sivaraman Narayanaswamy, Kowshik Thopalli, Bhavya Kailkhura, Wesam A. Sakla

CoRR, April, 2026

The Anatomy of Uncertainty in LLMs.

Aditya Taparia, Ransalu Senanayake, Kowshik Thopalli, Vivek Sivaraman Narayanaswamy

CoRR, March, 2026

ProtAlign: Contrastive learning paradigm for Sequence and structure alignment.

Aditya Ranganath, Hasin Us Sami, Kowshik Thopalli, Bhavya Kailkhura, Wesam A. Sakla

CoRR, March, 2026

2025

Interpretable and Steerable Concept Bottleneck Sparse Autoencoders.

Akshay Kulkarni, Tsui-Wei Weng, Vivek Sivaraman Narayanaswamy, Shusen Liu, Wesam A. Sakla, Kowshik Thopalli

CoRR, December, 2025

Visual Exploration of Feature Relationships in Sparse Autoencoders with Curated Concepts.

Xinyuan Yan, Shusen Liu, Kowshik Thopalli, Bei Wang

CoRR, November, 2025

Leveraging Registers in Vision Transformers for Robust Adaptation.

Srikar Yellapragada, Kowshik Thopalli, Vivek Sivaraman Narayanaswamy, Wesam A. Sakla, Yang Liu, Yamen Mubarka, Dimitris Samaras, Jayaraman J. Thiagarajan

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

On The Role of Prompt Construction In Enhancing Efficacy and Efficiency of LLM-Based Tabular Data Generation.

Banooqa H. Banday, Kowshik Thopalli, Tanzima Z. Islam, Jayaraman J. Thiagarajan

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

ModelX : A Novel Transfer Learning Approach Across Heterogeneous Datasets.

Arunavo Dey, Neil Antony, Aakash Raj Dhakal, Kowshik Thopalli, Jayaraman J. Thiagarajan, Tapasya Patki, Aniruddha Marathe, Tom Scogland, Jae-Seung Yeom, Tanzima Z. Islam

Proceedings of the 34th International Symposium on High-Performance Parallel and Distributed Computing, 2025

The Surprising Utility of Group Partitioning in Improving Conformal Prediction of Visual Classifiers under Distributional Shifts.

Kowshik Thopalli, Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2024

Speeding Up Image Classifiers with Little Companions.

Yang Liu, Kowshik Thopalli, Jayaraman J. Thiagarajan

CoRR, 2024

On the Use of Anchoring for Training Vision Models.

Vivek Sivaraman Narayanaswamy, Kowshik Thopalli, Rushil Anirudh, Yamen Mubarka, Wesam A. Sakla, Jayaraman J. Thiagarajan

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

DECIDER: Leveraging Foundation Model Priors for Improved Model Failure Detection and Explanation.

Rakshith Subramanyam, Kowshik Thopalli, Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

The Surprising Effectiveness of Deep Orthogonal Procrustes Alignment in Unsupervised Domain Adaptation.

Kowshik Thopalli, Rushil Anirudh, Pavan K. Turaga, Jayaraman J. Thiagarajan

IEEE Access, 2023

Improving Object Detectors by Exploiting Bounding Boxes for Augmentation Design.

S. Devi, Kowshik Thopalli, R. Dayana, P. Malarvezhi, Jayaraman J. Thiagarajan

IEEE Access, 2023

Target-Aware Generative Augmentations for Single-Shot Adaptation.

Kowshik Thopalli, Rakshith Subramanyam, Pavan K. Turaga, Jayaraman J. Thiagarajan

Proceedings of the International Conference on Machine Learning, 2023

InterAug: A Tuning-Free Augmentation Policy for Data-Efficient and Robust Object Detection.

Kowshik Thopalli, Devi S, Jayaraman J. Thiagarajan

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Single-Shot Domain Adaptation via Target-Aware Generative Augmentations.

Rakshith Subramanyam, Kowshik Thopalli, Spring Berman, Pavan K. Turaga, Jayaraman J. Thiagarajan

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Improving Single-Stage Object Detectors for Nighttime Pedestrian Detection.

Kowshik Thopalli, Jayaraman J. Thiagarajan

Int. J. Pattern Recognit. Artif. Intell., 2022

Single-Shot Domain Adaptation via Target-Aware Generative Augmentation.

Rakshith Subramanyam, Kowshik Thopalli, Spring Berman, Pavan K. Turaga, Jayaraman J. Thiagarajan

CoRR, 2022

Revisiting Deep Subspace Alignment for Unsupervised Domain Adaptation.

Kowshik Thopalli, Jayaraman J. Thiagarajan, Rushil Anirudh, Pavan K. Turaga

CoRR, 2022

Domain Alignment Meets Fully Test-Time Adaptation.

Kowshik Thopalli, Pavan K. Turaga, Jayaraman J. Thiagarajan

Proceedings of the Asian Conference on Machine Learning, 2022

2021

Improving Multi-Domain Generalization through Domain Re-labeling.

Kowshik Thopalli, Sameeksha Katoch, Andreas Spanias, Pavan K. Turaga, Jayaraman J. Thiagarajan

CoRR, 2021

MaAST: Map Attention with Semantic Transformersfor Efficient Visual Navigation.

Zachary Seymour, Kowshik Thopalli, Niluthpol Chowdhury Mithun, Han-Pang Chiu, Supun Samarasekera, Rakesh Kumar

CoRR, 2021

MaAST: Map Attention with Semantic Transformers for Efficient Visual Navigation.

Zachary Seymour, Kowshik Thopalli, Niluthpol Chowdhury Mithun, Han-Pang Chiu, Supun Samarasekera, Rakesh Kumar

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

Calibrate and Prune: Improving Reliability of Lottery Tickets Through Prediction Calibration.

Bindya Venkatesh, Jayaraman J. Thiagarajan, Kowshik Thopalli, Prasanna Sattigeri

CoRR, 2020

2019

Invenio: Discovering Hidden Relationships Between Tasks/Domains Using Structured Meta Learning.

Sameeksha Katoch, Kowshik Thopalli, Jayaraman J. Thiagarajan, Pavan K. Turaga, Andreas Spanias

CoRR, 2019

SALT: Subspace Alignment as an Auxiliary Learning Task for Domain Adaptation.

Kowshik Thopalli, Jayaraman J. Thiagarajan, Rushil Anirudh, Pavan K. Turaga

CoRR, 2019

Multiple Subspace Alignment Improves Domain Adaptation.

Kowshik Thopalli, Rushil Anirudh, Jayaraman J. Thiagarajan, Pavan K. Turaga

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Perturbation Robust Representations of Topological Persistence Diagrams.

Anirudh Som, Kowshik Thopalli, Karthikeyan Natesan Ramamurthy, Vinay Venkataraman, Ankita Shukla, Pavan K. Turaga

Proceedings of the Computer Vision - ECCV 2018, 2018